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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/84582

    Title: 發展網絡資料包絡分析模式衡量銀行業治理、創新和營運效率;Developing a Network Dea Model to Measure the Efficiency of Banking with the Governance, Innovation and Operations
    Authors: 張東生;葉俐廷
    Contributors: 企業管理學系
    Keywords: 網絡資料包絡分析;銀行效率;共享投入;非意欲產出;組織學習效果;Network Data Envelopment Analysis(DEA);Banking Efficiency;Shared inputs;Undesired output;organizational learning effect
    Date: 2020-12-08
    Issue Date: 2020-12-09 09:55:23 (UTC+8)
    Publisher: 科技部
    Abstract: 在2008年金融危機後,為改善銀行體系承擔經濟及金融衝擊能力,各國金融改革朝強化金融監督和治理機制。透過金融科技(FinTech)技術加值與整合,已衍生出許多創新金融服務模式,金融創新是銀行維持競爭力的核心要素。為了回應當前銀行經營環境,這項研究發展了一個網絡資料包絡分析模式,該模式體現了銀行效率衡量的內部結構,包括治理,創新和運營。共同投入,非意欲產出和組織學習效果被納入所提出的模式。所建構的模式將針對台灣35家銀行進行實證研究。改善低效率銀行的管理意涵將進一步討論。 ;After the 2008 financial crisis, in order to improve the banking system's ability to withstand economic and financial shocks, financial reforms in various countries have strengthened financial supervision and governance mechanisms. Through the value-added and integration of FinTech, many innovative financial service models have been derived. Financial innovation becomes the core factor for banks to maintain their competitiveness. In response to the current operating environment of banks, this study develops a Network DEA model that embodies the internal structure for the banking efficiency measurement, which includes the governance, innovation and operations. The shared inputs, undesired output and organization learning effect are incorporated into the proposed model. There are 35 banks in Taiwan will be empirically investigated by this proposed model. Managerial implications for improving inefficient banks will be further discussed.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[企業管理學系] 研究計畫

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